# Statistics (1 year) [MSc]

## ·         Aims of the programme

The M.Sc. programme in statistics offers students thorough, professional and high quality training in statistics, thus preparing them for work as statisticians in a range of areas including business, industry, education, medicine as well as government, scientific and academic research establishments.

Through the pathway structure, the emphasis is on providing a good general coverage of the subject together with additional, more specialist instruction in certain areas. The principal strength of the programme is that training is given in the practical side of the subject at the same time as providing a thorough appreciation of the theory underpinning the methodology.  The main general aims are to develop each student’s understanding of statistical theory and methodology, enable them to solve substantial and realistic statistical problems and to communicate effectively the findings and results.

## ·         Intended Learning Outcomes of the programme

On successful completion of the course students will:

• have specialized knowledge and understanding of selected statistical topics at an advanced level which take into account recent advances in the subject;
• use acquired knowledge and skills to enable them to apply and adapt statistical methodology and modelling techniques to real-life problems in both observational and designed studies and communicate the results of them clearly;
• have an appreciation of the general principles of statistical inference and their implications in data analysis;
• have acquired and shown skills in completing an extended individual study of a statistical problem and of presenting the results in a dissertation;
• have developed attitudes and confidence which will allow them to acquire new statistical knowledge and expertise throughout their future careers in statistics.

## ·         Structure of the Programme

The MSc programme in Statistics allows students to take one of two different MSc degrees, depending on their interests and career aspirations. These are the main more general programme in Statistics and an associated pathway in Financial Statistics.  Each one is built around a common core of five modules and then students study an additional set of three specialist modules to make a total of eight in all.

### Main Statistics pathway

Semester one

• Linear Models and Nonparametric Regression
• Statistical Computing
• Statistical Inference
• Multivariate Statistics

Semester two

• Generalized Linear Models and Survival Analysis
• Longitudinal Data Analysis
• Markov Chain Monte Carlo (MCMC)
• Design and Analysis of Experiments

This degree is accredited by the Royal Statistical Society.

### Financial Statistics pathway

This comprises a core of five course units which are common to the main course, plus three specialist course units in financial statistics.

Semester one

• Linear Models and Nonparametric Regression
• Statistical Computing
• Statistical Modelling in Finance
• Extreme Values and Financial Risk

Semester two

• Generalized Linear Models and Survival Analysis
• Longitudinal Data Analysis
• Markov Chain Monte Carlo (MCMC)
• Time Series Analysis and Financial Forecasting

This degree is accredited by the Royal Statistical Society.

### Dissertation

Following the successful completion of the taught part of the course (worth a total of 120 credits), students are expected to work on a dissertation from June to September which is worth a further 60 credits, making 180 credits in total.